Dataset for Assessing Multi-Dimensional Impacts of Achieving Sustainability Goals by Projecting the Sustainable Agriculture Matrix into the Future

This data repository feeds into the meta-repository setup for post-processing of GCAM-SAM outputs. GitHub link of meta-repository is: https://github.com/JGCRI/Kyle-etal_2022_EF 

Folders: 
model/ is the static version of the model used to simulate 8 scenarios. See the GitHub GCAM-SAM repository to follow active development of this model. 
inputs/ folder contains input datasets and scripts used to prepare files while postprocessing. This is to be used with GitHub post-processing meta-repository. 
outdata/ contains GCAM-SAM output and post-processed output files used to plot figures. 

Key files: 
SAM-matrix.dat is the consolidated GCAM-SAM output. Use proj_load.R in the metarepo to read the file. 
region_vals.csv has all 8 indicators in all 8 scenarios for years 2020 till 2100 on a 10 year time step. 

Short introduction to the study:

In this paper sustainable agriculture matrix (SAM) is estimated to 2100 using Global Change Analysis Model (GCAM). We model combinatorial variations of yield intensification, dietary shift, and greenhouse gas mitigation scenarios. Findings include scenarios having significant tradeoffs across multiple environmental, economic, and social dimensions. Assessment of these multi-dimensional tradeoffs in a consistent framework improves the quality of information for decision-making.

Should you have any questions, feel free to reach out Page Kyle at [e-mail].